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Teuken 7B Instruct v0.6

OpenGPT-X (Teuken) · Provider EU

Solo catalogo Pesi aperti Provider europeo

Ultima revisione:

Sovranità e hosting

Solo catalogo

Questo modello è catalogato per riferimento. Non è ancora ospitato su LLM EU, e nessun endpoint di prima parte lo serve qui. Le richieste ad esso vanno direttamente al fornitore, secondo i termini del fornitore stesso.

Riepilogo

Teuken 7B Instruct v0.6 è un modello tedesco finanziato pubblicamente, addestrato su tutte le 24 lingue ufficiali dell'UE, sviluppato da Fraunhofer, Forschungszentrum Jülich, TU Dresden e DFKI. È pubblicato sotto licenza CC-BY-NC-4.0, quindi i pesi sono scaricabili ma possono essere utilizzati solo per scopi privati, non commerciali, di ricerca e didattici. Nella valutazione EU21 del progetto stesso, ottiene una media di 0.57, superando Llama 3.1 8B Instruct a 0.563 e Mistral 7B Instruct v0.3 a 0.527 sullo stesso set di test.

Specifiche

Fornitore
OpenGPT-X (Teuken) (DE)
Finestra di contesto
4.1k
Parametri
7.45B
Modalità
text
Licenza
cc-by-nc-4.0 · licence
Pesi aperti
yes
Data di rilascio
28 lug 2025
Attività
Tedesco, Supporto multilingue, Traduzione, Riassunto, Assistenza clienti

Lingue

Forte: de, en, fr, es, it, nl, pl, pt, sv, cs, da, fi, el, ro

Adeguato: bg, et, ga, hr, hu, lt, lv, mt, sk, sl

Forte

  • de
  • en
  • fr
  • es
  • it
  • nl
  • pl
  • pt
  • sv
  • cs
  • da
  • fi
  • el
  • ro

Adeguato

  • bg
  • et
  • ga
  • hr
  • hu
  • lt
  • lv
  • mt
  • sk
  • sl

Non verificato: il fornitore non ha documentato questa affermazione. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

Quando usarlo

Punti di forza

  • trained on all 24 official EU languages rather than English-first data
  • published EU21 evaluation against Llama 3.1 8B and Mistral 7B
  • small enough to run on one mid-range accelerator
  • German public funding, with evaluation code and data documentation

Limiti

  • CC-BY-NC-4.0 forbids commercial use of the released checkpoint
  • 4096-token context window
  • a 7B model, so reasoning and coding lag larger releases

Domande frequenti

Who built Teuken 7B Instruct v0.6?

The card credits Fraunhofer, Forschungszentrum Jülich, TU Dresden, DFKI; funded by the German Federal Ministry for Economic Affairs and Climate Action. Source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6.

Can Teuken 7B Instruct v0.6 be used commercially?

No. It is published under CC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0/); the weights are downloadable, but the card says the licence "forbids commercial use of the released checkpoint" and allows only private, non-commercial, research and educational use.

What evaluation does Teuken 7B Instruct v0.6 publish?

The project's own EU21 evaluation (translated ARC, HellaSwag, TruthfulQA, MMLU) records 0.57 (project-reported) average, 0.59 (project-reported) on ARC and 0.66 (project-reported) on HellaSwag. The card states the project reports these itself and that they beat Llama 3.1 8B Instruct (0.563) and Mistral 7B Instruct v0.3 (0.527) on the same test set. Source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6.

How large is Teuken 7B Instruct v0.6, and how many languages does it cover?

The card records 7.45B (safetensors total 7,452,725,248) (source: https://huggingface.co/api/models/openGPT-X/Teuken-7B-instruct-v0.6) over a 4096-token context window (source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6/blob/main/config.json), trained on all 24 EU official languages: 14 recorded as strong and 10 more as supported.

Is Teuken 7B Instruct v0.6 served on LLM EU?

It has no endpoint in the catalogue, so it is catalogue only — not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.